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transop_util.cc 2.8 kB

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  1. /**
  2. * Copyright 2019-2020 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #include "graph/common/transop_util.h"
  17. #include "common/types.h"
  18. #include "graph/utils/type_utils.h"
  19. #include "framework/common/debug/ge_log.h"
  20. namespace {
  21. const int kInvalidTransopDataIndex = -1;
  22. const int kTransOpOutIndex = 0;
  23. std::map<ge::DataType, ge::DataType> precision_loss_transfer_map = {{ge::DT_FLOAT, ge::DT_BOOL}};
  24. } // namespace
  25. namespace ge {
  26. TransOpUtil::TransOpUtil() {
  27. transop_index_map_ = {{TRANSDATA, 0}, {TRANSPOSE, 0}, {TRANSPOSED, 0}, {RESHAPE, 0},
  28. {REFORMAT, 0}, {CAST, 0}, {SQUEEZE, 0}, {EXPANDDIMS, 0}};
  29. }
  30. TransOpUtil::~TransOpUtil() {}
  31. TransOpUtil &TransOpUtil::Instance() {
  32. static TransOpUtil inst;
  33. return inst;
  34. }
  35. bool TransOpUtil::IsTransOp(const NodePtr &node) {
  36. if (node == nullptr) {
  37. return false;
  38. }
  39. return IsTransOp(node->GetType());
  40. }
  41. bool TransOpUtil::IsTransOp(const std::string &type) {
  42. return Instance().transop_index_map_.find(type) != Instance().transop_index_map_.end();
  43. }
  44. int TransOpUtil::GetTransOpDataIndex(const NodePtr &node) {
  45. if (node == nullptr) {
  46. return kInvalidTransopDataIndex;
  47. }
  48. return GetTransOpDataIndex(node->GetType());
  49. }
  50. int TransOpUtil::GetTransOpDataIndex(const std::string &type) {
  51. auto it = Instance().transop_index_map_.find(type);
  52. if (it != Instance().transop_index_map_.end()) {
  53. return it->second;
  54. }
  55. return kInvalidTransopDataIndex;
  56. }
  57. bool TransOpUtil::CheckPrecisionLoss(const ge::NodePtr &src_node) {
  58. auto idx = TransOpUtil::GetTransOpDataIndex(src_node);
  59. auto input_desc = src_node->GetOpDesc()->GetInputDesc(idx);
  60. auto output_desc = src_node->GetOpDesc()->GetOutputDesc(kTransOpOutIndex);
  61. auto src_dtype = input_desc.GetDataType();
  62. auto dst_dtype = output_desc.GetDataType();
  63. auto iter = precision_loss_transfer_map.find(src_dtype);
  64. if (iter != precision_loss_transfer_map.end() && iter->second == dst_dtype) {
  65. GELOGW("Node %s transfer data type from %s to %s ,it will cause precision loss. ignore pass.",
  66. src_node->GetName().c_str(), TypeUtils::DataTypeToSerialString(src_dtype).c_str(),
  67. TypeUtils::DataTypeToSerialString(dst_dtype).c_str());
  68. return false;
  69. }
  70. return true;
  71. }
  72. } // namespace ge

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示